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Improved loudspeaker-room equalization for stereo systems regarding channel similarity
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Signals and Systems Group.
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Signals and Systems Group.
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Signals and Systems Group.
2012 (English)In: Proceedings - International Conference on Audio, Language and Image Processing, 2012, 254-259 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, a new approach to robust singlechannel loudspeaker-room equalization for stereo systems based on psychoacoustic insights is presented. Traditionally, in single-channel equalization each channel is equalized individually according to a desired target. In case the target cannot be reached for at least one of the two channels, this approach results in different loudspeaker-room transfer functions of the two channels at the listening position. However, reproducing the intended sound image of stereo recordings requires equal acoustic transfer functions from the input to the two loudspeakers to the listening region. In this paper we aim not only at equalizing the individual channels according to a desired target, but also at explicitly requiring symmetry between the two channels of a stereo system. To this end we propose a two-channel similarity SIMO controller structure, which is an extension to an earlier approach by the authors. The new approach is evaluated based on measurements in a room and is found to reduce differences between the room transfer functions of the two channels in both frequency and time domain.

Place, publisher, year, edition, pages
2012. 254-259 p.
National Category
Signal Processing
Research subject
Electrical Engineering with specialization in Signal Processing
Identifiers
URN: urn:nbn:se:uu:diva-181052DOI: 10.1109/ICALIP.2012.6376621ISBN: 978-146730171-8 (print)OAI: oai:DiVA.org:uu-181052DiVA: diva2:552793
Conference
3rd IEEE/IET International Conference on Audio, Language and Image Processing, ICALIP, Shanghai, CHINA
Available from: 2012-09-17 Created: 2012-09-17 Last updated: 2013-02-26Bibliographically approved

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Bahne, AdrianBrännmark, Lars-JohanAhlén, Anders

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Citation style
  • apa
  • ieee
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Output format
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